EURO-SUPREME: sub-daily precipitation extremes in the EURO-CORDEX ensemble

Abstract. Extreme precipitation events can lead to devastating floods, loss of life and severe infrastructure damage and are expected to increase in a warming world, highlighting the urgent need to quantify current-day and future extremes. Although intense precipitation extremes are generally better represented by high-resolution climate models, large ensemble datasets are lacking. Yet, these are very essential for estimating uncertainties of future trends. Here, the EURO-SUPREME (EURO-SUb-daily PRecipitation extrEMEs) dataset, with DOI: https://doi.org/10.26050/WDCC/EUCOR_prec_v2 (Van de Vyver et al., 2025), is presented that includes extreme precipitation events from the EURO-CORDEX regional climate model (RCM) ensemble (downscaling CMIP5 GCMs), for accumulated precipitation amounts ranging from 1 to 72 h. Specifically, the data are based on a small ensemble of evaluation runs and a 35-member ensemble of historical and future (RCP8.5) annual-maxima on the EURO-CORDEX EUR-11 (0.11°) domain, covering 4984 simulation years in total. The resource is designed to enable climate-model comparison and support various state-of-the-art scientific research efforts and climate-change risk assessments. We provide a validation of the EURO-SUPREME dataset for various countries in Europe and disentangle the RCM and GCM contributions to the biases. Furthermore, we provide a practical application of using EURO-SUPREME as a benchmark for high-resolution convection-permitting models for Belgium. Finally, we investigate the changes in intensity and frequency of extreme precipitation under different global warming levels.

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Publication Details

Journal
Earth system science data
Published
2025-12-03
DOI
https://doi.org/10.5194/essd-17-6747-2025
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11

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article

EURO-SUPREME: sub-daily precipitation extremes in the EURO-CORDEX ensemble

Piet Termonia, Wout Dewettinck, Steven Caluwaerts, Bert Van Schaeybroeck et al.
1 citations
Earth system science data
Climate variability and models
1.11
article

EURO-SUPREME: sub-daily precipitation extremes in the EURO-CORDEX ensemble

Piet Termonia, Wout Dewettinck, Steven Caluwaerts, Bert Van Schaeybroeck, Lesley De Cruz, Hans Van de Vyver, Anouk Dierickx
article en
1 citations

Abstract

Abstract. Extreme precipitation events can lead to devastating floods, loss of life and severe infrastructure damage and are expected to increase in a warming world, highlighting the urgent need to quantify current-day and future extremes. Although intense precipitation extremes are generally better represented by high-resolution climate models, large ensemble datasets are lacking. Yet, these are very essential for estimating uncertainties of future trends. Here, the EURO-SUPREME (EURO-SUb-daily PRecipitation extrEMEs) dataset, with DOI: https://doi.org/10.26050/WDCC/EUCOR_prec_v2 (Van de Vyver et al., 2025), is presented that includes extreme precipitation events from the EURO-CORDEX regional climate model (RCM) ensemble (downscaling CMIP5 GCMs), for accumulated precipitation amounts ranging from 1 to 72 h. Specifically, the data are based on a small ensemble of evaluation runs and a 35-member ensemble of historical and future (RCP8.5) annual-maxima on the EURO-CORDEX EUR-11 (0.11°) domain, covering 4984 simulation years in total. The resource is designed to enable climate-model comparison and support various state-of-the-art scientific research efforts and climate-change risk assessments. We provide a validation of the EURO-SUPREME dataset for various countries in Europe and disentangle the RCM and GCM contributions to the biases. Furthermore, we provide a practical application of using EURO-SUPREME as a benchmark for high-resolution convection-permitting models for Belgium. Finally, we investigate the changes in intensity and frequency of extreme precipitation under different global warming levels.

Earth system science dataVol. 17(12)
Royal Meteorological Institute of Belgium (BE), Vrije Universiteit Brussel (BE), Von Karman Institute for Fluid Dynamics (BE), Ghent University (BE)
U.S. Department of Energy, Belgian Federal Science Policy Office
Openalex Percentile: Top 17%
Climate variability and models
1.11
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